Overview

Dataset statistics

Number of variables4
Number of observations1584
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory51.2 KiB
Average record size in memory33.1 B

Variable types

Numeric1
Categorical2
Text1

Dataset

Description- 제주항의 화물별 수송량에 대한 정보를 제공합니다. - 데이터 제공처: KOSIS 국가통계포털
Author제주데이터허브
URLhttps://www.jejudatahub.net/data/view/data/775

Alerts

항구 has constant value ""Constant

Reproduction

Analysis started2023-12-11 20:05:25.736204
Analysis finished2023-12-11 20:05:26.102191
Duration0.37 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기준일(월)
Real number (ℝ)

Distinct132
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean201606.5
Minimum201101
Maximum202112
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size14.1 KiB
2023-12-12T05:05:26.223165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum201101
5-th percentile201107
Q1201309.75
median201606.5
Q3201903.25
95-th percentile202106
Maximum202112
Range1011
Interquartile range (IQR)593.5

Descriptive statistics

Standard deviation316.34648
Coefficient of variation (CV)0.0015691284
Kurtosis-1.2197707
Mean201606.5
Median Absolute Deviation (MAD)297
Skewness0
Sum3.193447 × 108
Variance100075.1
MonotonicityIncreasing
2023-12-12T05:05:26.460162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
201101 12
 
0.8%
201801 12
 
0.8%
201903 12
 
0.8%
201902 12
 
0.8%
201901 12
 
0.8%
201812 12
 
0.8%
201811 12
 
0.8%
201810 12
 
0.8%
201809 12
 
0.8%
201808 12
 
0.8%
Other values (122) 1464
92.4%
ValueCountFrequency (%)
201101 12
0.8%
201102 12
0.8%
201103 12
0.8%
201104 12
0.8%
201105 12
0.8%
201106 12
0.8%
201107 12
0.8%
201108 12
0.8%
201109 12
0.8%
201110 12
0.8%
ValueCountFrequency (%)
202112 12
0.8%
202111 12
0.8%
202110 12
0.8%
202109 12
0.8%
202108 12
0.8%
202107 12
0.8%
202106 12
0.8%
202105 12
0.8%
202104 12
0.8%
202103 12
0.8%

항구
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size12.5 KiB
제주항
1584 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row제주항
2nd row제주항
3rd row제주항
4th row제주항
5th row제주항

Common Values

ValueCountFrequency (%)
제주항 1584
100.0%

Length

2023-12-12T05:05:26.649020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T05:05:26.734592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제주항 1584
100.0%

화물구분
Categorical

Distinct12
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size12.5 KiB
기타
132 
모래
132 
목재
132 
무연탄
132 
비료
132 
Other values (7)
924 

Length

Max length3
Median length2
Mean length2.25
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row기타
2nd row모래
3rd row목재
4th row무연탄
5th row비료

Common Values

ValueCountFrequency (%)
기타 132
8.3%
모래 132
8.3%
목재 132
8.3%
무연탄 132
8.3%
비료 132
8.3%
선어 132
8.3%
시멘트 132
8.3%
양곡 132
8.3%
유류 132
8.3%
유연탄 132
8.3%
Other values (2) 264
16.7%

Length

2023-12-12T05:05:26.828707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
기타 132
8.3%
모래 132
8.3%
목재 132
8.3%
무연탄 132
8.3%
비료 132
8.3%
선어 132
8.3%
시멘트 132
8.3%
양곡 132
8.3%
유류 132
8.3%
유연탄 132
8.3%
Other values (2) 264
16.7%

화물량(톤)
Text

Distinct1006
Distinct (%)63.5%
Missing0
Missing (%)0.0%
Memory size12.5 KiB
2023-12-12T05:05:27.133333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length9
Mean length3.5031566
Min length1

Characters and Unicode

Total characters5549
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique962 ?
Unique (%)60.7%

Sample

1st row581910
2nd row22110
3rd row761
4th row-
5th row2850
ValueCountFrequency (%)
493
31.1%
0 38
 
2.4%
235 5
 
0.3%
2429 4
 
0.3%
1850 3
 
0.2%
1500 3
 
0.2%
1830 2
 
0.1%
247 2
 
0.1%
215 2
 
0.1%
313 2
 
0.1%
Other values (996) 1030
65.0%
2023-12-12T05:05:27.734643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 654
11.8%
2 576
10.4%
1 574
10.3%
5 502
9.0%
3 498
9.0%
- 493
8.9%
6 483
8.7%
8 453
8.2%
7 440
7.9%
4 416
7.5%
Other values (2) 460
8.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4998
90.1%
Dash Punctuation 493
 
8.9%
Other Punctuation 58
 
1.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 654
13.1%
2 576
11.5%
1 574
11.5%
5 502
10.0%
3 498
10.0%
6 483
9.7%
8 453
9.1%
7 440
8.8%
4 416
8.3%
9 402
8.0%
Dash Punctuation
ValueCountFrequency (%)
- 493
100.0%
Other Punctuation
ValueCountFrequency (%)
. 58
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 5549
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 654
11.8%
2 576
10.4%
1 574
10.3%
5 502
9.0%
3 498
9.0%
- 493
8.9%
6 483
8.7%
8 453
8.2%
7 440
7.9%
4 416
7.5%
Other values (2) 460
8.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5549
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 654
11.8%
2 576
10.4%
1 574
10.3%
5 502
9.0%
3 498
9.0%
- 493
8.9%
6 483
8.7%
8 453
8.2%
7 440
7.9%
4 416
7.5%
Other values (2) 460
8.3%

Interactions

2023-12-12T05:05:25.847808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T05:05:27.863713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기준일(월)화물구분
기준일(월)1.0000.000
화물구분0.0001.000
2023-12-12T05:05:28.305051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기준일(월)화물구분
기준일(월)1.0000.000
화물구분0.0001.000

Missing values

2023-12-12T05:05:25.961964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T05:05:26.060969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

기준일(월)항구화물구분화물량(톤)
0201101제주항기타581910
1201101제주항모래22110
2201101제주항목재761
3201101제주항무연탄-
4201101제주항비료2850
5201101제주항선어-
6201101제주항시멘트12762
7201101제주항양곡356
8201101제주항유류86502
9201101제주항유연탄-
기준일(월)항구화물구분화물량(톤)
1574202112제주항목재-
1575202112제주항무연탄-
1576202112제주항비료2429
1577202112제주항선어-
1578202112제주항시멘트10151
1579202112제주항양곡-
1580202112제주항유류78580
1581202112제주항유연탄-
1582202112제주항채소3937
1583202112제주항철재67432